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Credit Risk Modeler

CNH Industrial
life insurance, parental leave, 401(k)
United States, Pennsylvania, New Holland
120 Brubaker Ave (Show on map)
Dec 02, 2024

Credit Risk Modeler
Location

US-WI-Racine | US-PA-New Holland


ID
2024-26467

Category
Business Operations

Position Type
Full-time



Overview

CNH Industrial is a world-class equipment and services company. Driven by its purpose of Breaking New Ground, which centers on Innovation, Sustainability and Productivity, the Company provides the strategic direction, R&D capabilities, and investments that enable the success of its five core Brands: Case IH, New Holland Agriculture and STEYR, supplying 360 agriculture applications from machines to implements and the digital technologies that enhance them; and CASE and New Holland Construction Equipment delivering a full lineup of construction products that make the industry more productive. Across a history spanning over two centuries, CNH Industrial has always been a pioneer in its sectors and continues to passionately innovate and drive customer efficiency and success, driven by its purpose of Breaking New Ground. As a truly global company, CNH Industrial's 35,000+ employees form part of a diverse and inclusive workplace, focused on empowering customers to grow, and build, a better world.

As a Credit Risk Modeler, you will join our Global Risk Modeling & Analytics team in CNH Industrial Financial Services. Being member of a global team, you should expect being involved with projects of other regions, supporting data science standards, ad hoc and periodical risk-centric projects with focus on preparing, managing, and analyzing multiple data sets, applying machine learning algorithms to create credit risk models, as well as following established policies and procedures for developing and distributing standard reports. Also, you are expected to collaborate with other risk team members and stakeholders from across the organization to initiate and implement creative business solutions which meet business needs. To be successful in this role, you must have very strong quantitative, logical, analytical and problem-solving skills.



Responsibilities

    Apply Machine Learning (ML) techniques on big data to develop, refine and implement retail/commercial lending models as well as associated alignments and cutoffs for all regions. Models included but not limited to: origination, behavior, collection, financial, bureaus, delinquency, fraud, losses and auto-approval
  • Provide data-driven solutions to stakeholders within the business by using various digital tools available within CNH Capital
  • Perform ad hoc analyses of business situations, systems, issues and problems as well as research and test new technologies for risk mitigation
  • Work with IT to create/improve and keep structured data, perform data maintenance and management on daily basis, and consult on best practices for data retention
  • Assess tools/data purchased to support risk management plus tools used by outside vendors or partners
  • Provide and present the results of analyses in the form of graphs, charts, and tables, in high quality fashion and acceptable format, for management, peer and audit reviews
  • Document and maintain all procedures and models steps
  • Validation and monitoring of risk tools and their application in underwriting, collection or other user areas
  • Strong knowledge and experience in Big Data
  • Strong interpersonal, written and verbal communication skills
  • Advanced ability to perform exploratory data analysis
  • Problem solving skills and ability to propose and implement creative solutions
  • Ability to work both independently and as part of a team
  • Analytically oriented with a strong logical and quantitative skills

The salary range for this position is $74,000 - $109,000 annually (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.)



Qualifications

Basic Requirements:

  • Bachelor's degree or MBA in a quantitative discipline or related fields (e.g. Analytics, Data Science, Statistics, Mathematics, Economics, Finance, Engineering, etc.)
  • 1+ years' experience in data querying dashboard development
  • 1+ years' experience working in Azure Databricks and/or SAS
  • 1+ years' experience in delivering information to business stakeholders through quantitative methodologies

Preferred

  • 1-3 years' experience working with statistics, credit modelling, data analytics, or equivalent
  • Proficient in Microsoft Office
  • Experience in Power BI Development
  • Programming knowledge (R, Python, SAS, VB, etc.)
  • Background working in financial services credit or collections


Company Benefits

CNH Industrial offers a wide variety of benefits that not only encourages wellness and preventive care, but we also provide the right tools and programs to help you achieve it. Our benefits package includes medical, dental, vision, disability, and life insurance. Our industry leading 401k will support you in meeting your retirement objectives. Additional benefits include paid parental leave, flexible work policies, opportunities for self-development and paid leave for specific activities. Click here for more information!



EEO

US applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "EEO is the Law" poster and its supplement here. CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here.

If you need reasonable accommodation with the application process, please contact us at narecruitingmailbox@cnhind.com.

Read about our company's commitment to pay transparency by clicking this link: pay transparency notice.

Canada applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, colour, religion, sex, sexual orientation, gender identity, nationality, place of origin, disability, marital status, family status, age, or any other ground prohibited by applicable provincial human rights legislation.



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